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The DFG-funded international Research Training Group GRK2662 "charging into the future: understanding the interaction of polyelectrolytes with biosystems" aims to gain a better understanding of the molecular interactions between polyelectrolytes such as DNA, proteins or heparin with complex...
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Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | 28 days ago
-dimensional data. Your qualifications We are looking for a highly motivated candidate with a degree in a mathematical or computational field (e.g. mathematics or computer science). A strong academic background
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and biology and to 75% in physics and mathematics. The positions are funded by the German Research Foundation (DFG) for 3 years with the possibility to extend up to 4 years. The PhD students enrolled in
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. The current focus is on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine
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computer science, business informatics, media informatics, mathematics, applied mathematics, statistics, or a related field. Also, students from other fields with a sufficient skillset in computational
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) development of medical devices. The EKFZ relies on a close interdisciplinary collaboration between the University Medical Center Göttingen, the faculties of Physics, Mathematics, and Biology of the University
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PDEs. To efficiently solve these mathematically challenging problems, new optimization approaches need to be developed. Tasks: Work in a team on a national collaborative research project, which deals
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A university degree in computer science, mathematics, physics or engineering science (diploma/ master's degree) or an equivalent degree is required A strong interest in medical imaging and computing
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, or mixed-signal circuits, including SPICE and related tools is strongly desired. For algorithms projects, a strong background in coding and advanced mathematics is strongly desired. Coursework in theoretical
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to educational events, such as university lectures, JSC courses and hackathons. Your Profile: Excellent Master in Computer Science, Mathematics, or Physical Science, Very good knowledge and proven skills with